Publication: A Model-Oriented Approach for Lifting S...
Master data
| Title: | A Model-Oriented Approach for Lifting Symmetry-Breaking Constraints in Answer Set Programming |
| Subtitle: | |
| Abstract: | Writing correct models for combinatorial problems is relatively straightforward; however, they must be efficient to be usable with instances producing many solution candidates. In this work, we aim to automatically generalise the discarding of symmetric solutions of Answer Set Programming instances, improving the efficiency of the programs with first-order constraints derived from propositional symmetry-breaking constraints. |
| Keywords: | Search and Optimization Knowledge Representation and Reasoning Machine Learning |
| Publication type: | Article in Proceedings (Authorship) |
| Publication date: | 23.07.2022 (Online) |
| Published by: |
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22)
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22)
(
International Joint Conferences on Artificial Intelligence;
L. de Raedt
)
to publication |
| Title of the series: | - |
| Volume number: | - |
| First publication: | Yes |
| Version: | - |
| Page: | pp. 5875 - 5876 |
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| Keine Version vorhanden |
| Publication date: | 23.07.2022 |
| ISBN (e-book): |
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| eISSN: | - |
| DOI: | http://dx.doi.org/10.24963/ijcai.2022/840 |
| Homepage: | https://www.ijcai.org/proceedings/2022/840 |
| Open access |
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Assignment
| Organisation | Address | ||||
|---|---|---|---|---|---|
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Fakultät für Technische Wissenschaften
Institut für Artificial Intelligence und Cybersecurity
|
AT - A-9020 Klagenfurt |
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